------------------------------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  C:\Users\mgolder\Dropbox\campaign_sentiment_paper\replication\germany2013\germany.log
  log type:  text
 opened on:  18 Jan 2019, 12:30:07

. #delimit ;
delimiter now ;
. *     ***************************************************************** *;
. *     ***************************************************************** *;
. *       File-Name:      germany.do                                      *;
. *       Date:           January 16, 2019                                *;
. *       Author:         MRG/CC/TG                                       *;
. *       Purpose:        Produce results with respect to the analysis of *;
. *                       the German 2013 elections for the appendix for  *;
. *                       It's Not Only What You Say, It's Also How You   *;
. *                       Say It: The Strategic Use Of Campaign           *;
. *                       Sentiment. Journal of Politics. Forthcoming.    *;
. *           Input File:     germany.dta                                     *;
. *       Output File:    none                                            *;
. *       Data Output:    none                                            *;
.              *       Previous file:  germany.dta                                     *;
. *       Machine:        desktop/laptop                                                  *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *        Load data                                                      *;
. *     ****************************************************************  *;
. use "C:\Users\mgolder\Dropbox\campaign_sentiment_paper\replication\germany2013\germany.dta", clear;

. *     ****************************************************************  *;
. *       Label variables                                                 *;
. *     ****************************************************************  *;
. label var parties "party name";

. label var incumbent " 1 if incumbent party, 0 otherwise";

. label var prime_minister "1 if prime minister, 0 otherwise";

. label var mainstream "1 if mainstream party, 0 otherwise";

. label var tv_duell "1 if in TV-Duell, 0 if in TB-Dreikampf";

. label var manifestos_positive_sentiment "level of positive sentiment in manifestos";

. label var manifesto_words "word count in manifestos";

. label var peb_words "word count in party election broadcasts";

. label var peb_positive_sentiment "level of positive sentiment in party election broadcast";

. label var debate_words "word count in tv debate";

. label var debate_positive_sentiment "level of positive sentiment in tv debates";

. label var website_words "word count on website front page";

. label var website_positive_sentiment "level of positive sentiment on website front page";

. *     ****************************************************************  *;
. *               Manifestos                                                                                                          *;
. *     ****************************************************************  *;
. sum manifesto_words, detail;

                  word count in manifestos
-------------------------------------------------------------
      Percentiles      Smallest
 1%          830            830
 5%          830          34242
10%          830          36132       Obs                   7
25%        34242          39654       Sum of Wgt.           7

50%        39654                      Mean           40635.14
                        Largest       Std. Dev.      25359.76
75%        43163          39654
90%        87547          42878       Variance       6.43e+08
95%        87547          43163       Skewness        .439801
99%        87547          87547       Kurtosis       3.458161

. sum manifestos_positive_sentiment;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
manifestos~t |          7         .89    .5334792        .26        1.7

. sum manifestos_positive_sentiment if incumbent==1;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
manifestos~t |          2       1.405     .417193       1.11        1.7

. sum manifestos_positive_sentiment if incumbent==0;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
manifestos~t |          5        .684    .4446684        .26       1.35

. sum manifestos_positive_sentiment if prime_minister==1;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
manifestos~t |          1         1.7           .        1.7        1.7

. sum manifestos_positive_sentiment if prime_minister==0 & incumbent==1;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
manifestos~t |          1        1.11           .       1.11       1.11

. sum manifestos_positive_sentiment if mainstream==1;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
manifestos~t |          4       1.235     .388201        .78        1.7

. sum manifestos_positive_sentiment if mainstream==0;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
manifestos~t |          3         .43    .2688866        .26        .74

. *     ****************************************************************  *;
. *               Party Election Broadcasts                                                               *;
. *     ****************************************************************  *;
. sum peb_words;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
   peb_words |          7         195    52.99686        130        269

. sum peb_words, detail;

           word count in party election broadcasts
-------------------------------------------------------------
      Percentiles      Smallest
 1%          130            130
 5%          130            130
10%          130            183       Obs                   7
25%          130            189       Sum of Wgt.           7

50%          189                      Mean                195
                        Largest       Std. Dev.      52.99686
75%          234            189
90%          269            230       Variance       2808.667
95%          269            234       Skewness      -.0529429
99%          269            269       Kurtosis       1.713679

. sum peb_positive_sentiment if incumbent==1;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
peb_positi~t |          2       5.095    1.025305       4.37       5.82

. sum peb_positive_sentiment if incumbent==0;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
peb_positi~t |          5       1.764    .7162611        .74       2.31

. sum peb_positive_sentiment if prime_minister==1;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
peb_positi~t |          1        5.82           .       5.82       5.82

. sum peb_positive_sentiment if prime_minister==0 & incumbent==1;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
peb_positi~t |          1        4.37           .       4.37       4.37

. sum peb_positive_sentiment if mainstream==1;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
peb_positi~t |          4      3.0525    2.441603        .74       5.82

. sum peb_positive_sentiment if mainstream==0;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
peb_positi~t |          3    2.266667    .0750555       2.18       2.31

. *     ****************************************************************  *;
. *               Websites                                                                                *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *               As reported in the appendix, we downloaded the frontpage of     *;
. *               a party's website a month before the election (August 24).      *;
. *               Due to an error, we downloaded the frontpage of the Left                *;
. *               Party 1075 times over a number of days. While the number            *;
. *               of words on the main page did not change much, there was            *;
. *               some variation. The number of words reported in the data            *;
. *               for the Left Party is the average number of words:                          *;
. *               424070/1075 = 394.                                                                                          *;
. *     ****************************************************************  *;
. sum website_words;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
website_wo~s |          7    854.5714    518.2033        394       1886

. sum website_positive_sentiment if incumbent==1;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
website_po~t |          2       1.995    .6293251       1.55       2.44

. sum website_positive_sentiment if incumbent==0;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
website_po~t |          5        .424    .7353435       -.33       1.22

. sum website_positive_sentiment if prime_minister==1;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
website_po~t |          1        1.55           .       1.55       1.55

. sum website_positive_sentiment if prime_minister==0 & incumbent==1;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
website_po~t |          1        2.44           .       2.44       2.44

. sum website_positive_sentiment if mainstream==1;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
website_po~t |          4      1.3025    1.009699          0       2.44

. sum website_positive_sentiment if mainstream==0;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
website_po~t |          3          .3    .8072794       -.33       1.21

. *     ****************************************************************  *;
. *               Debates                                                                                                         *;
. *     ****************************************************************  *;
. sum debate_words if tv_duell==1;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
debate_words |          2        6166     357.796       5913       6419

. sum debate_words if tv_duell==0;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
debate_words |          3    2753.667    246.3257       2605       3038

. sum debate_positive_sentiment if incumbent==1;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
debate_pos~t |          2        1.39    .3959798       1.11       1.67

. sum debate_positive_sentiment if incumbent==0;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
debate_pos~t |          3         .87     .475079        .39       1.34

. sum debate_positive_sentiment if prime_minister==1;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
debate_pos~t |          1        1.67           .       1.67       1.67

. sum debate_positive_sentiment if prime_minister==0 & incumbent==1;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
debate_pos~t |          1        1.11           .       1.11       1.11

. sum debate_positive_sentiment if mainstream==1;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
debate_pos~t |          4        1.25    .3371449        .88       1.67

. sum debate_positive_sentiment if mainstream==0;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
debate_pos~t |          1         .39           .        .39        .39

. clear;

. * ********************************************************************* *;
.  *       The effect of election debate                                   *;
. * ********************************************************************* *;
.  * ********************************************************************* *;
.  *       Data from 2013 - TV debate panel study                          *;
.            *        Input File:     ZA5709_v3-0-0                                   *;
.                            *       Data Output:    none                                            *;
.                           * ********************************************************************  *;
. * ********************************************************************  *;
.  *       Note: We dropped 11 observations that did not participate in    *;
. *       pre- and posttest (Wave 1 & 2) using the following code:        *;
. *       keep if teil12 == 1                                             *;
. * ********************************************************************  *;
.   * ********************************************************************  *;
.  *       Load subset of TV Debate panel data                             *;
. * ********************************************************************  *;
.  use "C:\Users\mgolder\Dropbox\campaign_sentiment_paper\replication\germany2013\debate.dta", clear;
( )

. * ********************************************************************  *;
.  *       Get rid of missing values                                       *;
. * ********************************************************************  *;
.  mvdecode a6 a8 a9 a10 a12 a13 b6 b8 b9 b10 b12 b13, mv(-99=. \ -95=.);
          a6: 1 missing value generated
          a8: 1 missing value generated
          a9: 4 missing values generated
         a10: 1 missing value generated
         a12: 1 missing value generated
         a13: 2 missing values generated
          b6: 2 missing values generated
          b8: 1 missing value generated
          b9: 2 missing values generated
         b10: 2 missing values generated
         b12: 1 missing value generated
         b13: 2 missing values generated

. * ********************************************************************  *;
.  *       EVALUTATION variables and labels for Wave I (pre-debate)        *;
. *       We recode the relevant EVALUATION variables of the original     *;
. *       data (ZA5709 Data file Version 3.0.0) such that higher values   *;
. *       indicate more positive evaluations. Thus, recoding 1->5, 2->4   *;
. *       yields the new EVALUATION variables.                            *;
. * ********************************************************************  *;
.  gen a6new  = - a6  + 6;
(1 missing value generated)

. gen a8new  = - a8  + 6;
(1 missing value generated)

. gen a9new  = - a9  + 6;
(4 missing values generated)

. gen a10new = - a10 + 6;
(1 missing value generated)

. gen a12new = - a12 + 6;
(1 missing value generated)

. gen a13new = - a13 + 6;
(2 missing values generated)

. * ********************************************************************  *;
.  *       How has your own economic situation developed in the last one   *;
. *       to two years?                                                   *;
. * ********************************************************************  *;
.   label define improve 5 "improved a lot"  4 "improved a bit"  3 "stayed the same" 2 "got a bit worse" 1 "got a lot worse";

. label values a6new improve;

. label variable a6new  "Own economic situation, retrospective";

. * ********************************************************************  *;
.  *       How do you currently rate your own economic situation?          *;
. * ********************************************************************  *;
.  label define good 5 "very good"  4 "good"  3 "partly good, partly bad" 2 "bad" 1 "very bad";

. label values a8new good ;

. label variable a8new  "Own economic situation, current";

. * ********************************************************************  *;
.  *       What do you think? How will your own economic situation be like *;
. *       in a year's time?                                               *;
. * ********************************************************************  *;
.  label values a9new improve ;

. label variable a9new  "Own economic situation, prospective";

. * ********************************************************************  *;
.  *       How has the economic situation in Germany developed in the last *;
. *       one to two years?                                               *;
. * ********************************************************************  *;
.  label values a10new improve;

.  label variable a10new  "General economic situation, retrospective";

. * ********************************************************************  *;
.  *       How do you currently rate the economic situation in Germany?    *;
. * ********************************************************************  *;
.  label values a12new good ;

. label variable a12new  "General economic situation, current";

. * ********************************************************************  *;
.  *       How will the economic situation in Germany be in a year's time? *;
. * ********************************************************************  *;
.  label values a13new improve;

.  label variable a13new  "General economic situation, prospective";

. * ********************************************************************  *;
.  *       EVALUTATION variables and labels for Wave II (post-debate)      *;
. *       Thus, recoding 1->5, 2->4 yields the new EVALUATION variables   *;
. * ********************************************************************  *;
.  gen b6new  = - b6  + 6;
(2 missing values generated)

. gen b8new  = - b8  + 6;
(1 missing value generated)

. gen b9new  = - b9  + 6;
(2 missing values generated)

. gen b10new = - b10 + 6;
(2 missing values generated)

. gen b12new = - b12 + 6;
(1 missing value generated)

. gen b13new = - b13 + 6;
(2 missing values generated)

. * ********************************************************************  *;
.  *       How has your own economic situation developed in the last one   *;
. *       to two years?                                                   *;
. * ********************************************************************  *;
.  label values b6new improve ;

. label variable b6new  "Own economic situation, retrospective";

. * ********************************************************************  *;
.  *       How do you currently rate your own economic situation?          *;
. * ********************************************************************  *;
.  label values b8new good;

.  label variable b8new  "Own economic situation, current";

. * ********************************************************************  *;
.  *       What do you think? How will your own economic situation be like *;
. *       in a year's time?                                               *;
. * ********************************************************************  *;
.  label values b9new improve;

.  label variable b9new  "Own economic situation, prospective";

. * ********************************************************************  *;
.  *       How has the economic situation in Germany developed in the last *;
. *       one to two years?                                               *;
. * ********************************************************************  *;
.  label values b10new improve;

.  label variable b10new  "General economic situation, retrospective";

. * ********************************************************************  *;
.  *       How do you currently rate the economic situation in Germany?    *;
. * ********************************************************************  *;
.  label values b12new good;

. label variable b12new  "General economic situation, current";

. * ********************************************************************  *;
.  *       How will the economic situation in Germany be in a year's time? *;
. * ********************************************************************  *;
.  label values b13new improve;

. label variable b13new  "General economic situation, prospective";

. * ********************************************************************  *;
.  *       Dependent Variables                                             *;
. *       Calculate each DV as first difference,                          *;
. *       i.e., difference EVALUATION_{t_2} - EVALUATION_{t_1}            *;
. *       to leverage pre-post design with TV debate as `treatment'.      *;
. *       Thus, we have six DVs                                           *;
. * ********************************************************************  *;
.  gen dif6  = b6new  -a6new;
(3 missing values generated)

. gen dif8  = b8new  -a8new;
(2 missing values generated)

. gen dif9  = b9new  -a9new;
(5 missing values generated)

. gen dif10 = b10new -a10new;
(3 missing values generated)

. gen dif12 = b12new -a12new;
(1 missing value generated)

. gen dif13 = b13new -a13new;
(4 missing values generated)

. label variable dif6  "FD own economic situation, retrospective";

. label variable dif8  "FD own economic situation, current";

. label variable dif9  "FD own economic situation, prospective";

.  label variable dif10 "FD general economic situation, retrospective";

. label variable dif12 "FD general economic situation, current";

. label variable dif13 "FD general economic situation, prospective";

.     * ********************************************************************  *;
.  *       Independent Variable                                            *;
. *       Operationalize PM  supporters using the direct measurement      *;
. *       prior to debate: `Who do you prefer as chanellor?'              *;
. *       (direct measurement: Merkel or Steinbrück)                      *;
. * ********************************************************************  *;
.  * ********************************************************************  *;
.  *       Get rid of missing values                                       *;
. * ********************************************************************  *;
.  mvdecode a38, mv(-99=. \ -95=.);
         a38: 2 missing values generated

. * ********************************************************************  *;
.  *       Merkel supporter = 1, undecided = ., Steinbrueck supporter = 0  *;
. * ********************************************************************  *;
.  gen merkel =   (a38==1);

. replace merkel = . if a38==3;
(67 real changes made, 67 to missing)

. replace merkel = . if a38==.;
(2 real changes made, 2 to missing)

. label define yesno 1 "yes"  0 "no" ;

.  label values merkel yesno ;

.  label variable merkel  "PM supporter (Merkel)";

. * ********************************************************************  *;
.  *       OLS Analysis                                                    *;
. *       We know from the debate that PM Angela Merkel (CDU) employed    *;
. *       more positive emotive language than her opponent, Peer          *;
. *       Steinbrück (SPD). We expect to see the prime minister’s         *;
. *       supporters increase their evaluation of the economy and the     *;
. *       government over the course of the debate more than supporters   *;
. *       of Steinbrück, i.e. a positive coefficient in the following     *;
. *       regressions.                                                    *;
. * ********************************************************************  *;
.  * ********************************************************************  *;
.  *  Regression on FD own economic situation, retrospective               *;
. * ********************************************************************  *;
.  reg dif6  merkel;

      Source |       SS           df       MS      Number of obs   =       187
-------------+----------------------------------   F(1, 185)       =      0.13
       Model |  .036093365         1  .036093365   Prob > F        =    0.7223
    Residual |  52.7018745       185  .284874998   R-squared       =    0.0007
-------------+----------------------------------   Adj R-squared   =   -0.0047
       Total |  52.7379679       186  .283537462   Root MSE        =    .53374

------------------------------------------------------------------------------
        dif6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      merkel |   .0284787   .0800081     0.36   0.722    -.1293669    .1863244
       _cons |  -.0547945   .0624692    -0.88   0.382    -.1780381     .068449
------------------------------------------------------------------------------

.  * ********************************************************************  *;
.  *  Regression on FD own economic situation, current                     *;
. * ********************************************************************  *;
. reg dif8  merkel;

      Source |       SS           df       MS      Number of obs   =       188
-------------+----------------------------------   F(1, 186)       =      0.08
       Model |  .013506013         1  .013506013   Prob > F        =    0.7795
    Residual |  31.9652174       186  .171856007   R-squared       =    0.0004
-------------+----------------------------------   Adj R-squared   =   -0.0050
       Total |  31.9787234       187  .171009216   Root MSE        =    .41456

------------------------------------------------------------------------------
        dif8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      merkel |   .0173913    .062037     0.28   0.780    -.1049953    .1397779
       _cons |  -2.08e-17     .04852    -0.00   1.000    -.0957203    .0957203
------------------------------------------------------------------------------

.  * ********************************************************************  *;
.  *  Regression on FD own economic situation, prospective                 *;
. * ********************************************************************  *;
. reg dif9  merkel;

      Source |       SS           df       MS      Number of obs   =       185
-------------+----------------------------------   F(1, 183)       =      3.41
       Model |  .542942943         1  .542942943   Prob > F        =    0.0663
    Residual |  29.1111111       183   .15907711   R-squared       =    0.0183
-------------+----------------------------------   Adj R-squared   =    0.0129
       Total |  29.6540541       184  .161163337   Root MSE        =    .39884

------------------------------------------------------------------------------
        dif9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      merkel |   .1111111   .0601429     1.85   0.066    -.0075515    .2297737
       _cons |  -.1111111   .0470043    -2.36   0.019    -.2038512   -.0183711
------------------------------------------------------------------------------

.  * ********************************************************************  *;
.  *  Regression on FD general economic situation, retrospective           *;
. * ********************************************************************  *;
. reg dif10 merkel;

      Source |       SS           df       MS      Number of obs   =       188
-------------+----------------------------------   F(1, 186)       =      1.87
       Model |  1.22243547         1  1.22243547   Prob > F        =    0.1734
    Residual |  121.772245       186  .654689491   R-squared       =    0.0099
-------------+----------------------------------   Adj R-squared   =    0.0046
       Total |  122.994681       187  .657725566   Root MSE        =    .80913

------------------------------------------------------------------------------
       dif10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      merkel |   .1654556   .1210839     1.37   0.173    -.0734186    .4043299
       _cons |  -.0958904   .0947014    -1.01   0.313    -.2827173    .0909365
------------------------------------------------------------------------------

.  * ********************************************************************  *;
.  *  Regression on FD general economic situation, current                 *;
. * ********************************************************************  *;
. reg dif12 merkel;

      Source |       SS           df       MS      Number of obs   =       188
-------------+----------------------------------   F(1, 186)       =      9.18
       Model |  2.42167007         1  2.42167007   Prob > F        =    0.0028
    Residual |  49.0410959       186  .263661806   R-squared       =    0.0471
-------------+----------------------------------   Adj R-squared   =    0.0419
       Total |   51.462766       187  .275201957   Root MSE        =    .51348

------------------------------------------------------------------------------
       dif12 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      merkel |   .2328767   .0768409     3.03   0.003     .0812851    .3844684
       _cons |  -.2328767   .0600983    -3.87   0.000    -.3514386   -.1143148
------------------------------------------------------------------------------

.  * ********************************************************************  *;
.  *  Regression on FD general economic situation, prospective             *;
. * ********************************************************************  *;
. reg dif13 merkel;

      Source |       SS           df       MS      Number of obs   =       185
-------------+----------------------------------   F(1, 183)       =      1.74
       Model |  .800743293         1  .800743293   Prob > F        =    0.1884
    Residual |  84.0641216       183  .459366785   R-squared       =    0.0094
-------------+----------------------------------   Adj R-squared   =    0.0040
       Total |  84.8648649       184  .461222092   Root MSE        =    .67777

------------------------------------------------------------------------------
       dif13 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      merkel |   .1352854    .102467     1.32   0.188    -.0668832     .337454
       _cons |   -.056338    .080436    -0.70   0.485    -.2150393    .1023632
------------------------------------------------------------------------------

. * ********************************************************************  *;
. *   No matter how respondnets evaluate their own  economic situation    *;
. *   (currently, retrospectively or prospectively) or the general        *;
. *   economic situation (currently, retrospectively or prospectively)    *;
. *   the respective coefficients are positive. It is statistically       *;
. *   significant when evaluating the state of the current economy.       *;
. * ********************************************************************  *;
. *     ****************************************************************  *;
. *       Replication complete                                            *;
. *     ****************************************************************  *;
. log close;
      name:  <unnamed>
       log:  C:\Users\mgolder\Dropbox\campaign_sentiment_paper\replication\germany2013\germany.log
  log type:  text
 closed on:  18 Jan 2019, 12:30:07
------------------------------------------------------------------------------------------------------------------------------------------------
